AI Full stack Developer

20 hours ago

Chennai, Tamil Nadu, India Movate Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Work Location: Chennai

Experience: 6-8 years

Education Qualification: Bachelor's Degree

Required Skills:

Technical Leadership

  • Lead design, architecture, and development of AI-driven applications using GenAI and Agentic AI frameworks.
  • Mentor and guide a team of developers, ensuring high-quality code and best practices.
  • Collaborate with product managers, data scientists, and stakeholders to define technical roadmaps.

AI/ML Development

  • Design, develop, and implement ML/DL models for predictive analytics, NLP, computer vision, and generative AI use cases.
  • AI/ML Frameworks: TensorFlow, PyTorch, Scikit-learn, Hugging Face Transformers
  • Build and integrate LLMs, GenAI models, and agent-based AI workflows into enterprise solutions.
  • Fine-tune, prompt-engineer, and optimize LLMs (OpenAI, Anthropic, Llama, etc.) for business use cases.
  • Design and implement multi-agent orchestration systems for intelligent automation.

Fullstack Development

  • Develop scalable web applications using / Angular / (frontend) and Python (Django / Flask / FastAPI / ) (backend).
  • Integrate AI/ML APIs, microservices, and databases (SQL & NoSQL).
  • Ensure security, scalability, and performance of deployed applications.

Cloud & MLOps

Monitor and optimize model performance in production.

Deploy and manage AI applications on AWS / Azure / GCP.

Implement CI/CD, containerization (Docker, Kubernetes), and model deployment pipelines.

  • Define end-to-end architecture for GenAI & Agentic AI solutions
  • Design scalable and secure AI pipelines including data ingestion, model training, fine-tuning, deployment, and monitoring.
  • Architect multi-agent AI systems leveraging frameworks like LangChain, AutoGen, LlamaIndex, or similar.

Hands-on Development

  • Build and optimize AI applications in Python using frameworks such as PyTorch, TensorFlow, Hugging Face Transformers.
  • Implement and integrate LLMs, embeddings, RAG (Retrieval-Augmented Generation), vector databases (Pinecone, FAISS, Weaviate, Milvus).
  • Develop autonomous AI agents for workflow automation, reasoning, and decision-making.

Innovation & Strategy

  • Evaluate and recommend emerging GenAI & Agentic AI frameworks, tools, and platforms.
  • Define best practices for prompt engineering, model fine-tuning, safety, compliance, and governance.
  • Collaborate with stakeholders to align AI solutions with business goals and enterprise architecture.

Leadership & Mentoring

  • Lead technical discussions and provide architectural guidance to engineering teams.
  • Mentor data scientists, ML engineers, and software developers in AI best practices.
  • Collaborate with product managers and business leaders on solution roadmaps.

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